Table 1 Data characteristics.
From: Multi-class segmentation of temporomandibular joint using ensemble deep learning
Characteristics | Dataset-E | Dataset-Y | ||
|---|---|---|---|---|
Development set | Intramural test set | Extramural test set | ||
Number of patients | 383 | 96 | 63 | |
Number of joints (%) | 702 (100) | 160 (100) | 126 (100) | |
TMJ anterior disc displacement | Normal (%) | 289 (41.2) | 56 (35) | 46 (36.5) |
ADcR (%) | 239 (34.0) | 54 (33.8) | 36 (28.6) | |
ADsR (%) | 174 (24.8) | 50 (31.2) | 44 (34.9) | |
TMJ osteoarthritis | Normal (%) | 488 (69.5) | 102 (63.8) | 78 (61.9) |
Abnormal (%) | 214 (30.5) | 58 (36.2) | 48 (38.1) | |
Number of images | 2660 | 532 | 501 | |
Age: mean (s.d.) | 32 (13) | 33 (13) | 36 (14) | |
Sex: % male | 41 | 40 | 25 | |
